Image-based MRI gradient estimation. Acquaviva, R., Mangione, S., & Garbo, G. Magnetic Resonance Imaging, 49:138–144, June, 2018.
Image-based MRI gradient estimation [link]Paper  doi  abstract   bibtex   
In order to reduce geometric distortion phenomena in MR images, every MRI system main magnet undergoes a shimming process. Since this process aims at optimizing magnetic field homogeneity within a so-called uniformity sphere, image quality outside this sphere is neglected.
@article{acquaviva_image-based_2018,
	title = {Image-based {MRI} gradient estimation},
	volume = {49},
	issn = {0730725X},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0730725X17303041},
	doi = {10.1016/j.mri.2017.12.028},
	abstract = {In order to reduce geometric distortion phenomena in MR images, every MRI system main magnet undergoes a shimming process. Since this process aims at optimizing magnetic field homogeneity within a so-called uniformity sphere, image quality outside this sphere is neglected.},
	language = {en},
	urldate = {2021-02-12},
	journal = {Magnetic Resonance Imaging},
	author = {Acquaviva, Roberto and Mangione, Stefano and Garbo, Giovanni},
	month = jun,
	year = {2018},
	pages = {138--144},
}

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